{"id":"https://openalex.org/W4414034818","doi":"https://doi.org/10.1145/3705328.3748146","title":"RADAR: Recall Augmentation through Deferred Asynchronous Retrieval","display_name":"RADAR: Recall Augmentation through Deferred Asynchronous Retrieval","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034818","doi":"https://doi.org/10.1145/3705328.3748146"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3705328.3748146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118141365","display_name":"Amit Jaspal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amit Jaspal","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0002-4253-3836","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119556684","display_name":"Qian Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Dang","raw_affiliation_strings":["Meta Platforms, Inc., Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0005-8816-6076","affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119556685","display_name":"Ajantha Ramineni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajantha Ramineni","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"raw_orcid":"https://orcid.org/0009-0008-6018-4290","affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5118141365"],"corresponding_institution_ids":["https://openalex.org/I4210114444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34194127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1046","last_page":"1049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7571350932121277},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6099932193756104},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5881394743919373},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.127936452627182},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0946008563041687},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.06758344173431396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7571350932121277},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6099932193756104},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5881394743919373},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.127936452627182},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0946008563041687},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.06758344173431396}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3705328.3748146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3705328.3748146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2042281163","https://openalex.org/W2512971201","https://openalex.org/W2605350416","https://openalex.org/W4299699909","https://openalex.org/W4306317707","https://openalex.org/W4322717954","https://openalex.org/W4379933301","https://openalex.org/W4386730467"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W4207086172"],"abstract_inverted_index":{"Modern":[0],"large-scale":[1],"recommender":[2],"systems":[3],"employ":[4],"multi-stage":[5],"ranking":[6,88,142],"funnel":[7],"(Retrieval,":[8],"Pre-ranking,":[9],"Ranking)":[10],"to":[11,37,75,163],"balance":[12],"engagement":[13,153],"and":[14,51,95,108,160],"computational":[15],"constraints":[16],"(latency,":[17],"CPU).":[18],"However,":[19],"the":[20,40,85],"initial":[21],"retrieval":[22,100,107,128],"stage,":[23],"often":[24],"relying":[25],"on":[26],"efficient":[27],"but":[28],"less":[29],"precise":[30],"methods":[31],"like":[32],"K-Nearest":[33],"Neighbors":[34],"(KNN),":[35],"struggles":[36],"effectively":[38,131],"surface":[39],"most":[41],"engaging":[42,52],"items":[43,92],"from":[44,54],"billion-scale":[45],"catalogs,":[46],"particularly":[47],"distinguishing":[48],"highly":[49],"relevant":[50,56],"candidates":[53],"merely":[55],"ones.":[57],"We":[58,114],"introduce":[59],"Recall":[60],"Augmentation":[61],"through":[62,116],"Deferred":[63],"Asynchronous":[64],"Retrieval":[65],"(RADAR),":[66],"a":[67,77,98,133,139,148,158],"novel":[68],"framework":[69],"that":[70,119],"leverages":[71],"asynchronous,":[72],"offline":[73,117],"computation":[74],"pre-rank":[76],"significantly":[78,121],"larger":[79,134],"candidate":[80,136],"set":[81,137],"for":[82,111],"users":[83],"using":[84],"full":[86],"complexity":[87],"model.":[89,143],"These":[90],"top-ranked":[91],"are":[93],"stored":[94],"utilized":[96],"as":[97,157],"high-quality":[99],"source":[101],"during":[102],"online":[103,106,169],"inference,":[104],"bypassing":[105],"pre-ranking":[109],"stages":[110],"these":[112],"candidates.":[113],"demonstrate":[115],"experiments":[118],"RADAR":[120,156],"boosts":[122],"recall":[123],"(2X":[124],"Recall@200":[125],"vs":[126],"DNN":[127],"baseline)":[129],"by":[130],"combining":[132],"retrieved":[135],"with":[138],"more":[140],"powerful":[141],"Online":[144],"A/B":[145],"tests":[146],"confirm":[147],"+0.8%":[149],"lift":[150],"in":[151],"topline":[152],"metrics,":[154],"validating":[155],"practical":[159],"effective":[161],"method":[162],"improve":[164],"recommendation":[165],"quality":[166],"under":[167],"strict":[168],"serving":[170],"constraints.":[171]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}